bigframes.pandas.DataFrame.columns

property DataFrame.columns: Index

The column labels of the DataFrame.

Examples:

You can access the column labels of a DataFrame via columns property.

>>> df = bpd.DataFrame({'Name': ['Alice', 'Bob', 'Aritra'],
...                     'Age': [25, 30, 35],
...                     'Location': ['Seattle', 'New York', 'Kona']},
...                    index=([10, 20, 30]))
>>> df
      Name  Age  Location
10   Alice   25   Seattle
20     Bob   30  New York
30  Aritra   35      Kona

[3 rows x 3 columns]
>>> df.columns
Index(['Name', 'Age', 'Location'], dtype='object')

You can also set new labels for columns.

>>> df.columns = ["NewName", "NewAge", "NewLocation"]
>>> df
   NewName  NewAge NewLocation
10   Alice      25     Seattle
20     Bob      30    New York
30  Aritra      35        Kona

[3 rows x 3 columns]
>>> df.columns
Index(['NewName', 'NewAge', 'NewLocation'], dtype='object')